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It has several subcommands for each observation type. For example, to quick-look at a raster observation:\n```shell\n$ decode-qlook raster /path/to/dems.zarr.zip\n```\nwhere `dems.zarr.zip` is the merged observation data ([DESHIMA measurement set: DEMS](https://github.com/deshima-dev/dems)) to be checked. By default, it will output an image of the result plots by a simple analysis (e.g. continuum map, etc). You can also get the result data themselves by changing the output format:\n```shell\n$ decode-qlook raster /path/to/dems.zarr.zip --format zarr.zip\n```\nSee the command help for all available options:\n```shell\n# list of the subcommands and descriptions\n$ decode-qlook --help\n\n# list of the available command options\n$ decode-qlook raster --help\n```\n\nIf you are not sure about the observation type, the `auto` subcommand may be useful to automatically select the appropriate command to use:\n```shell\n$ decode-qlook auto /path/to/dems.zarr.zip\n```\n\nFinally, all subcommands are available as functions in the `qlook` submodule. For example, the `raster` command corresponds to `decode.qlook.raster` and the following Python code is equivalent to the CUI:\n```python\nimport decode\n\ndecode.qlook.raster(\"/path/to/dems.zarr.zip\")\n```\nSee [the qlook module documentation](https://deshima-dev.github.io/decode/_apidoc/decode.qlook.html) for more information.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeshima-dev%2Fdecode","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeshima-dev%2Fdecode","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeshima-dev%2Fdecode/lists"}